Evidence map›Paper›PMID 35566781›Full record

ArticleJournal of clinical medicine2022

Sarcopenia and Myosteatosis Are Associated with Neutrophil to Lymphocyte Ratio but Not Glasgow Prognostic Score in Colorectal Cancer Patients.

Raila Aro, Sanna Meriläinen, Päivi Sirniö, Juha P Väyrynen, Vesa-Matti Pohjanen, Karl-Heinz Herzig, Tero T Rautio, Elisa Mäkäräinen, Reetta Häivälä, Kai Klintrup and 3 more

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 2 pooled it
1.9field-weighted citation impact, top 14% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

15 citing papers in PubMed, 2 syntheses or guidelines pooled it, 20 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Review
  5. Low Muscle Density Is Associated with Morbidity and Systemic Inflammation in Colorectal Cancer, Independent of Tumor Factors.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2026
    Article
  6. Future of CT body composition research: Methodological discrepancies and advances.Nutrition in clinical practice : official publication of the American Society for Parenteral and Enteral Nutrition · 2026
    Review
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  8. Article
  9. Article
  10. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors at 2 institutions in 2 countries.

Raila AroDepartment of Surgery, Oulu University Hospital, 90014 Oulu, Finland.
Sanna MeriläinenDepartment of Surgery, Oulu University Hospital, 90014 Oulu, Finland.ORCID 0000-0002-0789-9042
Päivi SirniöCancer and Translational Medicine Research Unit, University of Oulu, P.O. Box 5000, 90014 Oulu, Finland.
Juha P VäyrynenCancer and Translational Medicine Research Unit, University of Oulu, P.O. Box 5000, 90014 Oulu, Finland.ORCID 0000-0002-8683-2996
Vesa-Matti PohjanenCancer and Translational Medicine Research Unit, University of Oulu, P.O. Box 5000, 90014 Oulu, Finland.
Karl-Heinz HerzigOulu University Hospital, Medical Research Center Oulu, P.O. Box 21, 90029 Oulu, Finland.ORCID 0000-0003-4460-2604
Tero T RautioDepartment of Surgery, Oulu University Hospital, 90014 Oulu, Finland.ORCID 0000-0003-4441-9412
Elisa MäkäräinenDepartment of Surgery, Oulu University Hospital, 90014 Oulu, Finland.
Reetta HäiväläDepartment of Surgery, Oulu University Hospital, 90014 Oulu, Finland.
Kai KlintrupDepartment of Surgery, Oulu University Hospital, 90014 Oulu, Finland.
Markus J MäkinenCancer and Translational Medicine Research Unit, University of Oulu, P.O. Box 5000, 90014 Oulu, Finland.ORCID 0000-0002-9200-4118
Juha SaarnioDepartment of Surgery, Oulu University Hospital, 90014 Oulu, Finland.
Anne TuomistoCancer and Translational Medicine Research Unit, University of Oulu, P.O. Box 5000, 90014 Oulu, Finland.
Oulu University Hospital · FIPoznan University of Medical Sciences · PL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cancer patients commonly present sarcopenia, myosteatosis, and systemic inflammation, which are risk factors of poor survival. In this study, sarcopenia and myosteatosis were defined from preoperative body computed tomography scans of 222 colorectal cancer (CRC) patients and analyzed in relation to tumor and patient characteristics, markers of systemic inflammation (modified Glasgow prognostic score (mGPS), neutrophil−lymphocyte ratio (NLR), serum levels of C-reactive protein (CRP), albumin, and 13 cytokines, and survival. Of the systemic inflammation markers, sarcopenia and/or myosteatosis associated with elevated NLR (p = 0.005) and low albumin levels (≤35 g/L) (p = 0.018), but not with mGPS or serum cytokine levels. In addition, myosteatosis was associated with a proximal tumor location (p = 0.039), serrated tumor subtype (p < 0.001), and severe comorbidities (p = 0.004). Multivariable analyses revealed that severe comorbidities and serrated histology were independent predictors of myosteatosis, and older age and elevated NLR were independent indicators of sarcopenia. Myosteatosis associated with shorter overall survival in univariable analysis (HR 1.959, 95% CI 1.24−3.10, p = 0.004) but not in multivariable analysis (p = 0.075). We conclude that sarcopenia and myosteatosis were associated with inflammatory marker NLR, but not with mGPS. Moreover, patients with serrated CRC may have an increased risk of myosteatosis. Myosteatosis or sarcopenia were not independent predictors of patient survival.

Indexed as

cytokinesmyosteatosisNLRsarcopeniasystemic inflammation

Identifiers

PMID35566781
PMCPMC9104763
OpenAlexW4229451126

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.